Separating Daily 1 km PM2.5 Inorganic Chemical Composition in China since 2000 via Deep Learning Integrating Ground, Satellite, and Model Data

J Wei, Z Li, X Chen, C Li, Y Sun, J Wang… - … science & technology, 2023 - ACS Publications
Fine particulate matter (PM2. 5) chemical composition has strong and diverse impacts on the
planetary environment, climate, and health. These effects are still not well understood due to …

Tracking Daily Concentrations of PM2.5 Chemical Composition in China since 2000

S Liu, G Geng, Q Xiao, Y Zheng, X Liu… - Environmental …, 2022 - ACS Publications
PM2. 5 chemical components play significant roles in the climate, air quality, and public
health, and the roles vary due to their different physicochemical properties. Obtaining …

Significant reductions in secondary aerosols after the three-year action plan in Beijing summer

Y Li, L Lei, J Sun, Y Gao, P Wang, S Wang… - Environmental …, 2023 - ACS Publications
Air quality in China has continuously improved during the Three-Year Action Plan (2018–
2020); however, the changes in aerosol composition, properties, and sources in Beijing …

High secondary aerosol contribution to particulate pollution during haze events in China

RJ Huang, Y Zhang, C Bozzetti, KF Ho, JJ Cao, Y Han… - Nature, 2014 - nature.com
Rapid industrialization and urbanization in developing countries has led to an increase in air
pollution, along a similar trajectory to that previously experienced by the developed nations …

An interpretable self-adaptive deep neural network for estimating daily spatially-continuous PM2. 5 concentrations across China

B Chen, S You, Y Ye, Y Fu, Z Ye, J Deng… - Science of The Total …, 2021 - Elsevier
Accurate estimation of daily spatially-continuous PM 2.5 (fine particulate matter)
concentration is a prerequisite to address environmental public health issues, and satellite …

[HTML][HTML] Spatiotemporal continuous estimates of PM2. 5 concentrations in China, 2000–2016: A machine learning method with inputs from satellites, chemical …

T Xue, Y Zheng, D Tong, B Zheng, X Li, T Zhu… - Environment …, 2019 - Elsevier
Ambient exposure to fine particulate matter (PM 2.5) is known to harm public health in
China. Satellite remote sensing measurements of aerosol optical depth (AOD) were …

Rapid transition in winter aerosol composition in Beijing from 2014 to 2017: response to clean air actions

H Li, J Cheng, Q Zhang, B Zheng… - Atmospheric …, 2019 - acp.copernicus.org
The clean air actions implemented by the Chinese government in 2013 have led to
significantly improved air quality in Beijing. In this work, we combined the in situ …

Improved 1 km resolution PM2.5 estimates across China using enhanced space–time extremely randomized trees

J Wei, Z Li, M Cribb, W Huang, W Xue… - Atmospheric …, 2020 - acp.copernicus.org
Fine particulate matter with aerodynamic diameters≤ 2.5 µ m (PM 2.5) has adverse effects
on human health and the atmospheric environment. The estimation of surface PM 2.5 …

[HTML][HTML] New interpretable deep learning model to monitor real-time PM2. 5 concentrations from satellite data

X Yan, Z Zang, N Luo, Y Jiang, Z Li - Environment International, 2020 - Elsevier
Particulate matter with a mass concentration of particles with a diameter less than 2.5 μm
(PM 2.5) is a key air quality parameter. A real-time knowledge of PM 2.5 is highly valuable …

Constructing a spatiotemporally coherent long-term PM2. 5 concentration dataset over China during 1980–2019 using a machine learning approach

H Li, Y Yang, H Wang, B Li, P Wang, J Li… - Science of the Total …, 2021 - Elsevier
The lack of long-term observations and satellite retrievals of health-damaging fine
particulate matter in China has demanded the estimates of historical PM 2.5 (particulate …